Folksonomy-based ontological user interest profile modeling and its application in personalized search

  • Authors:

  • Xiaogang Han;Zhiqi Shen;Chunyan Miao;Xudong Luo

  • Affiliations:

  • School of Computer Engineering, Nanyang Technological University, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore

  • Venue:
  • AMT'10 Proceedings of the 6th international conference on Active media technology
  • Year:
  • 2010

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Abstract

Information overload on the Internet is becoming more and more insufferable. The accurate representation of user interests is crucial to a successful information filtering system that are used to solve the issue of information overload. To model the users' interests more effectively, this paper investigate how to collect user tags from folksonomy and map them onto an existing domain ontology. The experiment that integrates our user interest profile model to a Web Search Engine shows that our approach can accurately capture user's multiple interests at the semantic level, and thus the personalized search performance is significantly improved compared with the state-of-the-art approaches.